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Florent Masseglia

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Life Science Workflow Services (LifeSWS): motivations and architecture

Reza Akbarinia , Christophe Botella , Alexis Joly , Florent Masseglia , Marta Mattoso
Transactions on Large-Scale Data- and Knowledge-Centered Systems, inPress
Journal articles lirmm-04173545v1
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kNN matrix profile for knowledge discovery from time series

Tanmoy Mondal , Reza Akbarinia , Florent Masseglia
Data Mining and Knowledge Discovery, 2023, 37 (3), pp.1055-1089. ⟨10.1007/s10618-022-00883-8⟩
Journal articles lirmm-04225369v1
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BestNeighbor: Efficient Evaluation of kNN Queries on Large Time Series Databases

Oleksandra Levchenko , Boyan Kolev , Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia
Knowledge and Information Systems (KAIS), 2021, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩
Journal articles lirmm-02973633v2
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Spatial-Time Motifs Discovery

Heraldo Borges , Murillo Dutra , Amin Bazaz , Rafaelli Coutinho , Fábio Perosi
Intelligent Data Analysis, 2020, 24 (5), pp.1121-1140. ⟨10.3233/IDA-194759⟩
Journal articles lirmm-02984969v1
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A “big-data” algorithm for KNN-PLS

Maxime Metz , Matthieu Lesnoff , Florent Abdelghafour , Reza Akbarinia , Florent Masseglia
Chemometrics and Intelligent Laboratory Systems, 2020, 203, pp.104076. ⟨10.1016/j.chemolab.2020.104076⟩
Journal articles hal-02899789v1
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Space Time Series Clustering: Algorithms, Taxonomy, and Case Study on Urban Smart Cities

Asma Belhadi , Youcef Djenouri , Kjetil Nørvåg , Heri Ramampiaro , Florent Masseglia
Engineering Applications of Artificial Intelligence, 2020, 95, pp.#103857. ⟨10.1016/j.engappai.2020.103857⟩
Journal articles lirmm-03036868v1
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Massively Distributed Time Series Indexing and Querying

Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Themis Palpanas
IEEE Transactions on Knowledge and Data Engineering, 2020, 32 (1), pp.108-120. ⟨10.1109/TKDE.2018.2880215⟩
Journal articles lirmm-02197618v1
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Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s

Corinne Atlan , Jean-Pierre Archambault , Olivier Banus , Frédéric Bardeau , Amélie Blandeau
Revue de l'EPI (Enseignement Public et Informatique), 2019
Journal articles hal-02145478v1
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ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows

Djamel-Edine Edine Yagoubi , Reza Akbarinia , Boyan Kolev , Oleksandra Levchenko , Florent Masseglia
Data Mining and Knowledge Discovery, 2018, 32 (5), pp.1481-1507. ⟨10.1007/s10618-018-0580-z⟩
Journal articles lirmm-01886794v1
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A Highly Scalable Parallel Algorithm for Maximally Informative k-Itemset Mining

Saber Salah , Reza Akbarinia , Florent Masseglia
Knowledge and Information Systems (KAIS), 2017, 50 (1), pp.1-26. ⟨10.1007/s10115-016-0931-2⟩
Journal articles lirmm-01288571v1
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Data placement in massively distributed environments for fast parallel mining of frequent itemsets

Saber Salah , Reza Akbarinia , Florent Masseglia
Knowledge and Information Systems (KAIS), 2017, 53 (1), pp.207-237. ⟨10.1007/s10115-017-1041-5⟩
Journal articles lirmm-01620383v1

Où se trouve la science informatique ?

Maxime Amblard , Victoria Denys , Joanna Jongwane , Florent Masseglia
Interstices, 2015
Journal articles hal-01352666v1
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Autonomic Intrusion Detection: Adaptively Detecting Anomalies over Unlabeled Audit Data Streams in Computer Networks

Wei Wang , Thomas Guyet , René Quiniou , Marie-Odile Cordier , Florent Masseglia
Knowledge-Based Systems, 2014, 70, pp.103-117. ⟨10.1016/j.knosys.2014.06.018⟩
Journal articles hal-01052810v1

The anti-bouncing data stream model for web usage streams with intralinkings

Chongsheng Zhang , Florent Masseglia , Yves Lechevallier
Information Sciences, 2014, 278, pp.757-772. ⟨10.1016/j.ins.2014.03.089⟩
Journal articles lirmm-01091868v1

Person of Interest : la surveillance des données individuelles pour anticiper les crimes

Florent Masseglia
Interstices, 2013
Journal articles hal-01350299v1
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Discovering Significant Evolution Patterns from Satelllite Image Time Series

François Petitjean , Florent Masseglia , Pierre Gancarski , Germain Forestier
International Journal of Neural Systems, 2011, 21 (6), pp.15. ⟨10.1142/S0129065711003024⟩
Journal articles lirmm-00639480v1
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Discovering Frequent Behaviors: Time is an Essential Element of the Context

Bashar Saleh , Florent Masseglia
Knowledge and Information Systems (KAIS), 2011, 28 (2), pp.311-331. ⟨10.1007/s10115-010-0361-5⟩
Journal articles hal-00640213v1
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Atypicity Detection in Data Streams: a Self-Adjusting Approach

Alice Marascu , Florent Masseglia
Intelligent Data Analysis, 2011, 15 (1), pp.89-105. ⟨10.3233/IDA-2010-0457⟩
Journal articles hal-00789034v1

Idée reçue : Les premiers résultats de Google sont les meilleurs

Florent Masseglia
Interstices, 2010
Journal articles hal-01350222v1

À propos de la fouille de données

Florent Masseglia , Joanna Jongwane
Interstices, 2010
Journal articles hal-01350298v1
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Efficient Mining of Sequential Patterns with Time Constraints: Reducing the Combinations

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire
Expert Systems with Applications, 2009, 36 (2), pp.2677-2690. ⟨10.1016/j.eswa.2008.01.021⟩
Journal articles lirmm-00272632v1
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Web Usage Mining: Extracting Unexpected Periods from Web Logs

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu
Data Mining and Knowledge Discovery, 2008, 16 (1), pp.039-065. ⟨10.1007/s10618-007-0080-z⟩
Journal articles lirmm-00204872v2

Mining Sequential Patterns from Data Streams: a Centroid Approach

Alice Marascu , Florent Masseglia
Journal of Intelligent Information Systems, 2006, 27 (3), pp.291-307. ⟨10.1007/s10844-006-9954-6⟩
Journal articles inria-00461296v1
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Extraction de motifs séquentiels. Problèmes et méthodes

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet
Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2004, 9 (3/4), pp.183-210. ⟨10.3166/isi.9.3-4.183-210⟩
Journal articles lirmm-00108563v1
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HDM: A Client/Server/Engine Architecture for Real Time Web Usage Mining

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet
Knowledge and Information Systems (KAIS), 2003, 5 (4), pp.439-465. ⟨10.1007/s10115-003-0097-6⟩
Journal articles lirmm-00191952v1
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Incremental Mining of Sequential Patterns in Large Databases

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire
Data and Knowledge Engineering, 2003, 46 (1), pp.97-121. ⟨10.1016/S0169-023X(02)00209-4⟩
Journal articles lirmm-00269547v1
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Parallel Techniques for Variable Size Segmentation of Time Series Datasets

Lamia Djebour , Reza Akbarinia , Florent Masseglia
ADBIS 2022 - 26th European Conference on Advances in Databases and Information Systems, Sep 2022, Turin, Italy. pp.148-162, ⟨10.1007/978-3-031-15740-0_12⟩
Conference papers lirmm-03805997v1
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Variable size segmentation for efficient representation and querying of non-uniform time series datasets

Lamia Djebour , Reza Akbarinia , Florent Masseglia
SAC 2022 - 37th ACM/SIGAPP Symposium on Applied Computing, Apr 2022, Virtual Event, United States. pp.395-402, ⟨10.1145/3477314.3507000⟩
Conference papers lirmm-03806053v1
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ASAX : Segmentation adaptative basée sur la quantité d'information pour SAX

Lamia Djebour , Reza Akbarinia , Florent Masseglia
BDA 2021 - 37e Conférence sur la Gestion de Données - Principes, Technologies et Applications, Oct 2021, Paris, France
Conference papers lirmm-03468535v1
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Massively Distributed Clustering via Dirichlet Process Mixture

Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia , Isabelle Sanchez
ECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent / Virtual, Belgium. ⟨10.1007/978-3-030-67670-4_34⟩
Conference papers lirmm-03036910v1
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High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models

Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia
IEEE Big Data 2019 - IEEE International Conference on Big Data, Dec 2019, Los-Angeles, United States
Conference papers lirmm-02364411v1
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Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities

Boyan Kolev , Reza Akbarinia , Ricardo Jimenez-Peris , Oleksandra Levchenko , Florent Masseglia
CLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, May 2019, Heraklion, Greece. pp.681-687, ⟨10.5220/0007843806810687⟩
Conference papers lirmm-02265729v1
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Distributed Algorithms to Find Similar Time Series

Oleksandra Levchenko , Boyan Kolev , Djamel-Edine Edine Yagoubi , Dennis Shasha , Themis Palpanas
ECML-PKDD 2019 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2019, Wurtzbourg, Germany. pp.781-785, ⟨10.1007/978-3-030-46133-1_51⟩
Conference papers lirmm-02265726v1
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Dirichlet Process Mixture Models made Scalable and Effective by means of Massive Distribution

Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia
SAC 2019 - 34th ACM/SIGAPP Symposium on Applied Computing, Apr 2019, Limassol, Cyprus. pp.502-509, ⟨10.1145/3297280.3297327⟩
Conference papers hal-01999453v1
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Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s

Corinne Atlan , Jean-Pierre Archambault , Olivier Banus , Frédéric Bardeau , Amélie Blandeau
EIAH Wokshop 2019 - Apprentissage de la pensée informatique de la maternelle à l’Université : retours d’expériences et passage à l’échelle, Jun 2019, Paris, France
Conference papers hal-02145480v1
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Maximally Informative k-Itemset Mining from Massively Distributed Data Streams

Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia
SAC: Symposium on Applied Computing, Apr 2018, Pau, France. pp.502-509, ⟨10.1145/3167132.3167187⟩
Conference papers hal-01711990v1
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Discovering Tight Space-Time Sequences

Riccardo Campisano , Heraldo Borges , Fábio Porto , Fabio Perosi , Esther Pacitti
DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. pp.247-257, ⟨10.1007/978-3-319-98539-8_19⟩
Conference papers hal-01925965v1
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Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project

Patrick Valduriez , Marta Mattoso , Reza Akbarinia , Heraldo Borges , José Camata
LADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil
Conference papers lirmm-01867804v1
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Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets

Oleksandra Levchenko , Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Boyan Kolev
CIKM 2018 - 27th ACM International Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954, ⟨10.1145/3269206.3269226⟩
Conference papers lirmm-01886760v1
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A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources

Mohamed Reda Bouadjenek , Esther Pacitti , Maximilien Servajean , Florent Masseglia , Amr Abbadi
DBKDA: Advances in Databases, Knowledge, and Data Applications, May 2018, Nice, France
Conference papers hal-01911684v1
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RadiusSketch: Massively Distributed Indexing of Time Series

Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Dennis Shasha
IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Oct 2017, Tokyo, Japan. pp.262-271, ⟨10.1109/DSAA.2017.49⟩
Conference papers lirmm-01620154v1
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Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach

Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia
BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. pp.1-15
Conference papers lirmm-01620354v1
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Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach

Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia
CAiSE: Advanced Information Systems Engineering, Jun 2017, Essen, Germany. pp.231-246, ⟨10.1007/978-3-319-59536-8_15⟩
Conference papers lirmm-01620238v1
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DPiSAX: Massively Distributed Partitioned iSAX

Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Themis Palpanas
ICDM: International Conference on Data Mining, Nov 2017, New Orleans, United States. pp.1135-1140, ⟨10.1109/ICDM.2017.151⟩
Conference papers lirmm-01620125v1
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A New Privacy-Preserving Solution for Clustering Massively Distributed Personal Times-Series

Tristan Allard , Georges Hébrail , Florent Masseglia , Esther Pacitti
ICDE: International Conference on Data Engineering, May 2016, Helsinki, Finland. pp.1370-1373, ⟨10.1109/ICDE.2016.7498347⟩
Conference papers lirmm-01270268v1
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Mining Maximally Informative k-Itemsets in Massively Distributed Environments

Saber Salah , Reza Akbarinia , Florent Masseglia
BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France
Conference papers lirmm-01411190v1
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When sharing computer science with everyone also helps avoiding digital prejudices

Marie Duflot , Martin Quinson , Florent Masseglia , Didier Roy , Julien Vaubourg
SCRATCH, Aug 2015, Amsterdam, Netherlands
Conference papers hal-01154767v1
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Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering

Tristan Allard , Georges Hébrail , Florent Masseglia , Esther Pacitti
SIGMOD: International Conference on Management of Data, May 2015, Melbourne, Australia. pp.779-794, ⟨10.1145/2723372.2749453⟩
Conference papers hal-01136686v1
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Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce

Saber Salah , Reza Akbarinia , Florent Masseglia
MLDM 2015 - 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, Jul 2015, Hamburg, Germany. pp.217-231, ⟨10.1007/978-3-319-21024-7_15⟩
Conference papers lirmm-01171555v1
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Aggregation-Aware Compression of Probabilistic Streaming Time Series

Reza Akbarinia , Florent Masseglia
MLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.232-247, ⟨10.1007/978-3-319-21024-7_16⟩
Conference papers lirmm-01162366v1
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Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data

Saber Salah , Reza Akbarinia , Florent Masseglia
ICDM: International Conference on Data Mining, Aug 2015, Atlantic city, United States. pp.359-368, ⟨10.1109/ICDM.2015.86⟩
Conference papers lirmm-01187275v1
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Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments

Saber Salah , Reza Akbarinia , Florent Masseglia
DEXA: Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.303-318, ⟨10.1007/978-3-319-22849-5_21⟩
Conference papers lirmm-01169603v1
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A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data

Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia
DEXA: Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.509-516, ⟨10.1007/978-3-319-22849-5_35⟩
Conference papers lirmm-01169606v1

Compression de flux de données probabilistes attentive à l'agrégation

Reza Akbarinia , Florent Masseglia
BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France
Conference papers lirmm-01091870v1

Mining frequent itemsets over tuple-evolving data streams

Chongsheng Zhang , Yuan Hao , Mirjana Mazuran , Carlo Zaniolo , Hamid Mousavi
SAC: Symposium on Applied Computing, Mar 2013, Coimbra, Portugal. pp.267-274, ⟨10.1145/2480362.2480419⟩
Conference papers lirmm-00830923v1

Fast and Exact Mining of Probabilistic Data Streams

Reza Akbarinia , Florent Masseglia
ECML PKDD 2013 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. pp.493-508, ⟨10.1007/978-3-642-40988-2_32⟩
Conference papers lirmm-00838618v1
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A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications

Enikö Székely , Pascal Poncelet , Florent Masseglia , Maguelonne Teisseire , Renaud Cezar
DS: Discovery Science, Oct 2013, Singapore, Singapore. pp.249-264, ⟨10.1007/978-3-642-40897-7_17⟩
Conference papers lirmm-00907893v1
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FMU: Fast Mining of Probabilistic Frequent Itemsets in Uncertain Data Streams

Reza Akbarinia , Florent Masseglia
BDA 2012 - 28e journées Bases de Données Avancées, Oct 2012, Clermont-Ferrand, France
Conference papers lirmm-00748605v1
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Discovering Highly Informative Feature Set Over High Dimensions

Chongsheng Zhang , Florent Masseglia , Xiangliang Zhang
ICTAI: International Conference on Tools with Artificial Intelligence, Nov 2012, Athens, Greece. pp.1059-1064, ⟨10.1109/ICTAI.2012.149⟩
Conference papers lirmm-00753807v1
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Modeling and Clustering Users with Evolving Profiles in Usage Streams

Chongsheng Zhang , Florent Masseglia , Xiangliang Zhang
TIME'2012: 19th International Symposium on Temporal Representation and Reasoning, Sep 2012, United Kingdom. pp.133-140
Conference papers lirmm-00753791v1
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Découverte de motifs d'évolution significatifs dans les séries temporelles d'images satellites

François Petitjean , Florent Masseglia , Pierre Gancarski
EGC: Extraction et Gestion des Connaissances, Jan 2011, Brest, France. pp.665-676
Conference papers hal-00640214v1

REGLO: une nouvelle stratégie pour résumer un flux de séries temporelles

Alice Marascu , Florent Masseglia , Yves Lechevallier
Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie
Conference papers inria-00461834v1

ABS: The Anti Bouncing Model for Usage Data Streams

Chongsheng Zhang , Florent Masseglia , Yves Lechevallier
ICDM'10 : The 10th IEEE International Conference on Data Mining, Dec 2010, Sydney, Australia. pp.1169-1174, ⟨10.1109/ICDM.2010.91⟩
Conference papers lirmm-00653732v1

Extraction d'itemsets distinctifs dans les flux de données

Chongsheng Zhang , Florent Masseglia
Extraction et gestion des connaissances, Jan 2010, France. pp.187-198
Conference papers hal-00504877v1

A Fast Approximation Strategy for Summarizing a Set of Streaming Time Series

Alice Marascu , Florent Masseglia , Yves Lechevallier
ACM Symposium on Applied Computing, Mar 2010, Sierre, Switzerland
Conference papers inria-00461781v1

Online and Adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams

Wei Wang , Thomas Guyet , René Quiniou , Marie-Odile Cordier , Florent Masseglia
EGC 2009, 2009, Strasbourg, France
Conference papers inria-00460723v1

Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution

Alice Marascu , Florent Masseglia
Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France
Conference papers inria-00461838v1
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Collaborative Outlier Mining for Intrusion Detection

Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet
EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.313-323
Conference papers lirmm-00345574v1
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SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions

François Trousset , Pascal Poncelet , Florent Masseglia
ACM First International Workshop on Privacy and Anonymity for Very Large Datasets, join with CIKM 09, Nov 2009, Hong Kong, China. pp.17-24
Conference papers lirmm-00430646v1

A Multi-Resolution Approach for Atypical Behaviour Mining

Alice Marascu , Florent Masseglia
Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bangkok, Thailand. pp.899-906, ⟨10.1007/978-3-642-01307-2⟩
Conference papers inria-00461831v1

A General Framework for Adaptive and Online Detection of Web attacks

Wei Wang , Florent Masseglia , Thomas Guyet , René Quiniou , Marie-Odile Cordier
18th International World Wide Web Conference - WWW 2009, Apr 2009, Madrid, Spain
Conference papers inria-00461391v1
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Détection d'intrusions dans un environnement collaboratif sécurisé

Nischal Verma , François Trousset , Pascal Poncelet , Florent Masseglia
EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.301-312
Conference papers lirmm-00345566v1

Parameterless Outlier Detection in Data Streams

Alice Marascu , Florent Masseglia
ACM symposium on Applied Computing, Mar 2009, Honolulu, United States. pp.1491-1495
Conference papers inria-00461827v1
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Data Mining for Intrusion Detection: from Outliers to True Intrusions

Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet
PAKDD 2009 - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bankok, Thailand. pp.891-898, ⟨10.1007/978-3-642-01307-2_93⟩
Conference papers inria-00359206v2
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Gradual Trends in Fuzzy Sequential Patterns

Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire
IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2008, Malaga, Spain. pp.456-463
Conference papers lirmm-00273910v1
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Des séquences aux tendances

Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire
INFORSID: INFormatique des ORganisations et Systèmes d’Information et de Décision, May 2008, Fontainebleau, France
Conference papers lirmm-00273920v1

Real Time Web Usage Mining with a Distributed Navigation Analysis

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet
RIDE'02: International Workshop on Research Issues on Data Engineering, San Jose, USA, pp.6
Conference papers lirmm-00268631v1
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TED and EVA : Expressing Temporal Tendencies Among Quantitative Variables Using Fuzzy Sequential Patterns

Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire
WCCI4: World Congress on Computational Intelligence, Jun 2008, Hong Kong, China. pp.1861-1868, ⟨10.1109/FUZZY.2008.4630623⟩
Conference papers lirmm-00273907v1
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Time Aware Mining of Itemsets

Bashar Saleh , Florent Masseglia
TIME, Jun 2008, Montreal, Canada. pp.93-97, ⟨10.1109/TIME.2008.12⟩
Conference papers inria-00359182v1

Limites d'une approche incrémentale pour la segmentation de séquences dans les flux

Alice Marascu , Florent Masseglia
Fouille de données complexes dans un processus d'extraction de connaissances, Jan 2007, Namur, Belgique
Conference papers inria-00461878v1

Extraction de motifs séquentiels dans les flots de données d'usage du Web

Alice Marascu , Florent Masseglia
Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.627-638
Conference papers inria-00461841v1

Classification de flots de séquences basée sur une approche centroïde

Alice Marascu , Florent Masseglia
INFORSID, Informatique des organisations et systèmes d'information et de décision, Jun 2006, Hammamet, Tunisie
Conference papers inria-00461839v1

Classification de flots de séquences basée sur une approche centroïde

Alice Marascu , Florent Masseglia
Fouille de données complexes dans un processus d'extraction de connaissances, Jan 2006, Lille, France. pp.131-139
Conference papers inria-00461880v1
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Peer-to-Peer Usage Analysis: a Distributed Mining Approach

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire
AINA: Advanced Information Networking and Applications, 2006, Vienna, Austria
Conference papers hal-00106798v1
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Web Usage Mining : extraction de périodes denses à partir des logs

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu
EGC: Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.403-408
Conference papers inria-00461840v1

Mining Sequential Patterns from Temporal Streaming Data

Alice Marascu , Florent Masseglia
First ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD'05), held in conjunction with the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Nov 2005, Porto, Portugal
Conference papers inria-00461843v1

Mining Data Streams for Frequent Sequences Extraction

Alice Marascu , Florent Masseglia
IEEE first Workshop on Mining Complex Data (MCD'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States
Conference papers inria-00461876v1

Web Usage Mining: Extracting Unexpected Periods from Web Logs

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu
IEEE 2nd Workshop on Temporal Data Mining (TDM'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States
Conference papers inria-00461877v1

Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet
TIME'04: 11th International Symposium on Temporal Representation and Reasoning, Jul 2004, Tatihou, Basse-Normandie (France), pp.87-95
Conference papers lirmm-00108888v1

Web Usage Mining: Sequential Pattern Extraction with a Very Low Support

Florent Masseglia , Doru Tanasa , Brigitte Trousse
Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Apr 2004, Hangzhou, China. pp.513--522, ⟨10.1007/978-3-540-24655-8_56⟩
Conference papers hal-00950768v1

HDM, un Module de Fouille de Données Distribué et Temps Réel

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet
EGC: Extraction et Gestion des Connaissances, Jan 2002, Montpellier, France. pp.393-398
Conference papers lirmm-00268518v1
Image document

Web Usage Mining: How to Efficiently Manage New Transactions and New Clients

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire
PKDD 2000 - 4th European Conference on Principles of Data Mining and Knowledge Discovery, Sep 2000, Lyon, France. pp.530-535, ⟨10.1007/3-540-45372-5_62⟩
Conference papers hal-00008926v1
Image document

Highly Scalable Real-Time Analytics with CloudDBAppliance

Boyan Kolev , Oleksandra Levchenko , Florent Masseglia , Reza Akbarinia , Esther Pacitti
XLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. , 10th Extremely Large Databases Conference, 2017
Conference poster lirmm-01632355v1
Image document

Variable-Size Segmentation for Time Series Representation

Lamia Djebour , Reza Akbarinia , Florent Masseglia
Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII, Lecture Notes in Computer Science (13840), pp.34-65, 2022, 978-3-662-66862-7. ⟨10.1007/978-3-662-66863-4_2⟩
Book sections lirmm-03882927v1
Image document

Anomaly Detection in Time Series

Heraldo Borges , Reza Akbarinia , Florent Masseglia
Transactions on Large-Scale Data- and Knowledge-Centered Systems L, LNCS. TLDKS -12930, , pp.46-62, 2021, Lecture Notes in Computer Science. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 978-3-662-64553-6. ⟨10.1007/978-3-662-64553-6_3⟩
Book sections lirmm-03359500v1
Image document

Mining Common Outliers for Intrusion Detection

Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet
Fabrice Guillet; Gilbert Ritschard; Djamel Abdelkader Zighed; Henri Briand. Advances in Knowledge Discovery and Management, 292, Springer, pp.217-234, 2010, Studies in Computational Intelligence, 978-3-642-00579-4. ⟨10.1007/978-3-642-00580-0_13⟩
Book sections lirmm-00798705v1
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Intrusion Detections in Collaborative Organizations by Preserving Privacy

Verma Nischal , François Trousset , Pascal Poncelet , Florent Masseglia
Fabrice Guillet and Gilbert Ritschard and Djamel Abdelkader Zighed and Henri Briand. Advances in Knowledge Discovery and Management, 292, Springer, pp.235-247, 2010, Studies in Computational Intelligence, 978-3-642-00579-4. ⟨10.1007/978-3-642-00580-0_14⟩
Book sections lirmm-00430642v1

Web Usage Mining for Ontology Management

Brigitte Trousse , Marie-Aude Aufaure , Bénédicte Le Grand , Yves Lechevallier , Florent Masseglia
Data Mining with Ontologies: Implementation, Findings and Framework, Idea Group Publishing, pp.37-64, 2007
Book sections hal-00256574v1

Sequential Pattern Mining

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet
John Wang. Encyclopedia of Data Warehousing and Mining, Idea Group Reference, pp.1028-1032, 2005, 1-59140-557-2
Book sections lirmm-00106576v1
Image document

Extraction de connaissances : réunir volumes de données et motifs significatifs

Florent Masseglia
Base de données [cs.DB]. Université Nice Sophia Antipolis, 2009
Habilitation à diriger des recherches tel-00788309v1